tensorflow/playground
Interactive neural network playground built in TypeScript with d3.js for visualizing and experimenting with neural network architecture and behavior.
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Deep playground is an interactive visualization tool that lets users explore how neural networks learn and behave. Users can manipulate network architecture (layers, units, activation functions), data patterns, and learning parameters to see how these changes affect training outcomes. The project is built in TypeScript using d3.js for rendering and runs entirely in the browser without a backend.
Frequently asked
- What is tensorflow/playground?
- Interactive neural network playground built in TypeScript with d3.js for visualizing and experimenting with neural network architecture and behavior.
- Is playground open source?
- Yes — tensorflow/playground is open source, released under the Apache-2.0 license.
- What language is playground written in?
- tensorflow/playground is primarily written in TypeScript.
- How popular is playground?
- tensorflow/playground has 13k stars on GitHub.
- Where can I find playground?
- tensorflow/playground is on GitHub at https://github.com/tensorflow/playground.